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Preview	Issue Date	Title	Author(s)
	2003	A generic artificial neural network model for short term predictions of algal blooms in lakes and reservoirs	Wilson, H.; Recknagel, F.; Friedrich Recknagel,
	2003	Predictive rules for phytoplakton dynamics in freshwater lakes discovered by evolutionary algorithms	Bobbin, J.; Recknagel, F.; Friedrich Recknagel,
	2003	Ecological applications of adaptive agents	Recknagel, F.; Friedrich Recknagel,
	2003	Generic artificial neural network framework for habitat assessment and prediction of Australian stream systems	Horrigan, N.; Recknagel, F.; Dave Allen,; MODSIM03
	2005	Patterning, predicting stream macroinvertebrate assemblages in Victoria (Australia) using artificial neural networks and genetic algorithms	Horrigan, N.; Bobbin, J.; Recknagel, F.; Metzeling, L.; Lek, S.; Scardi, M.; Verdonschot, P.; Descy, J.; Park, Y.
	2002	In-channel phosphorus removal from pasture drainage by water couch (Paspalum paspalodes)	Wen, L.; Recknagel, F.; Wetzel, R.G.
	2006	Unravelling and predicting ecosystem behaviours of Lake Soyang (South Korea) in response to seasonality and management by means of artificial neural networks	Recknagel, F.; Kim, B.; Welk, A.; Jones, J.
	2002	Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes	Recknagel, F.; Bobbin, J.; Whigham, P.; Wilson, H.
	2006	Artificial neural network approach to unravel and forecast algal population dynamics of two lakes different in morphometry and eutrophication	Recknagel, F.; Welk, A.; Kim, B.; Takamura, N.; Recknagel, F.
	2006	Computational assemblage of ordinary differential equations for Chlorophyll-a using a lake process equation library and measured data of Lake Kasumigaura	Atanasova, N.; Recknagel, F.; Todorovski, L.; Dzeroski, S.; Kompare, B.; Recknagel, F.